Harpreet Singh

About

Dr. Singh is a graduate of Mechanical Engineering with Honors from Kurukshetra University. He has a Master of Technology in Industrial Engineering from Guru Nanak Dev Engineering College, Ludhiana, and a Ph.D. in Mechanical Engineering from Punjab Technical University, Jalandhar.

My area of expertise is industrial and manufacturing systems.

Employment

Employment history is unavailable.

Education

• Punjab Technical University Ph.D.
  2017 - 2023
• Guru Nanak Dev Engineering College M. Tech. in Industrial Engineering
  2011 - 2013
• Kurukshetra University Bachelor of Technology (Honours)
  2002 - 2006

Projects & Funding

Projects & funding information is unavailable.

Publications (10)

• Multi-objective permutation and non-permutation flow shop scheduling problems with no-wait: a systematic literature review
  RAIRO - Operations Research 2021 DOI: 10.1051/ro/2020055
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• Big data, industry 4.0 and cyber-physical systems integration: A smart industry context
  Materials Today: Proceedings 2021 DOI: 10.1016/j.matpr.2020.07.170
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• Sequence-based transportation and optimization of a flow shop scheduling problem: A manufacturing industry context
  AIP Conference Proceedings 2021 DOI: 10.1063/5.0057963
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• Simulation and modelling of hybrid heuristics distribution algorithm for flow shop scheduling problem to optimize Makespan in an Indian manufacturing industry
  Journal of Scientific and Industrial Research 2021
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• Modelling of heuristic distribution algorithm to optimize flexible production scheduling in Indian industry
  Procedia Computer Science 2020 DOI: 10.1016/j.procs.2020.03.414
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• Simulation and Optimization of Flexible Flow Shop Scheduling Problem in an Indian Manufacturing Industry
  2020 DOI: 10.1007/978-981-15-4565-8_14
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• The taxonomy of dynamic multi-objective optimization of heuristics algorithms in flow shop scheduling problems: A systematic literature review
  International Journal of Industrial Engineering : Theory Applications and Practice 2020
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• Materials and Information Flow Analysis and Optimization of Manufacturing Processes in MSMEs by the Application of Value Stream Mapping (VSM) Technique
  Materials Today: Proceedings 2018 DOI: 10.1016/j.matpr.2018.10.128
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• Application of time-series demand forecasting models with seasonality and trend components for industrial products
  International Journal of Mechanical Engineering and Technology 2017
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• Supply chain wide transformation of traditional industry to industry 4.0
  ARPN Journal of Engineering and Applied Sciences 2016
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